https://github.com/souravbhadra/maplapse

A python library to create animated timelapse of maps
https://github.com/souravbhadra/maplapse

animation data-visualization geospatial-visualization gif gis map mapping python spatial-data video

Last synced: about 1 year ago
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A python library to create animated timelapse of maps

• Host: GitHub
• URL: https://github.com/souravbhadra/maplapse
• Owner: souravbhadra
• License: mit
• Created: 2022-08-28T21:20:42.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-08-29T07:16:13.000Z (over 3 years ago)
• Last Synced: 2025-02-22T20:36:26.482Z (about 1 year ago)
• Topics: animation, data-visualization, geospatial-visualization, gif, gis, map, mapping, python, spatial-data, video
• Language: Python
• Homepage: https://maplapse.readthedocs.io
• Size: 33 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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![maplapse-logo](https://raw.githubusercontent.com/souravbhadra/maplapse/master/docs/images/logo.gif)

`MapLapse` is a Python-based library to create animated timelapse maps from given shapefiles. It is mainly built on top of `geopandas` and `matplotlib`, along with other open-source geospatial packages.

## Key Features

- Animated **choropleth** maps

- Animated **proportional circle** maps

- Supports output in `.gif` and `.mp4`

## Example

The `Animator` object of `maplapse` can easily create the animations. Here is a code snippet:

```

anim = Animator(shape='/county_shape.shp',

                value='/century_data.csv',

                time_column='Year',

                data_column='Value',

                shape_unique_column='ST_CNT',

                map_type='choropleth',

                out_path='/animation.gif')

anim.animate()

```

Output:

![maplapse-ex1](https://raw.githubusercontent.com/souravbhadra/maplapse/master/docs/images/corn_yield.gif)

![maplapse-ex2](https://raw.githubusercontent.com/souravbhadra/maplapse/master/docs/images/covid.gif)

## Installation

Simply use `pip install maplapse`.

## Problems

If you face any issues with the library, please create an issue by following up the steps [here](https://docs.github.com/en/issues/tracking-your-work-with-issues/creating-an-issue)